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ORCIDLaura Cabello Piqueras
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2020 – today
- 2024
[c8]Laura Cabello, Uchenna Akujuobi:
It is Simple Sometimes: A Study On Improving Aspect-Based Sentiment Analysis Performance. ACL (Findings) 2024: 6597-6610- [i10]Laura Cabello, Uchenna Akujuobi:
It is Simple Sometimes: A Study On Improving Aspect-Based Sentiment Analysis Performance. CoRR abs/2405.20703 (2024) - 2023
- [c7]Terne Sasha Thorn Jakobsen
, Laura Cabello, Anders Søgaard:
Being Right for Whose Right Reasons? ACL (1) 2023: 1033-1054 - [c6]Oliver Eberle, Ilias Chalkidis, Laura Cabello, Stephanie Brandl:
Rather a Nurse than a Physician - Contrastive Explanations under Investigation. EMNLP 2023: 6907-6920 - [c5]Laura Cabello, Emanuele Bugliarello, Stephanie Brandl, Desmond Elliott:
Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models. EMNLP 2023: 8465-8483 - [c4]Laura Cabello, Anna Katrine Jørgensen, Anders Søgaard:
On the Independence of Association Bias and Empirical Fairness in Language Models. FAccT 2023: 370-378 - [i9]Yong Cao, Li Zhou, Seolhwa Lee, Laura Cabello, Min Chen, Daniel Hershcovich:
Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study. CoRR abs/2303.17466 (2023) - [i8]Li Zhou, Laura Cabello, Yong Cao, Daniel Hershcovich:
Cross-Cultural Transfer Learning for Chinese Offensive Language Detection. CoRR abs/2303.17927 (2023) - [i7]Laura Cabello, Anna Katrine Jørgensen, Anders Søgaard:
On the Independence of Association Bias and Empirical Fairness in Language Models. CoRR abs/2304.10153 (2023) - [i6]Terne Sasha Thorn Jakobsen, Laura Cabello, Anders Søgaard:
Being Right for Whose Right Reasons? CoRR abs/2306.00639 (2023) - [i5]Laura Cabello, Jiaang Li, Ilias Chalkidis:
PokemonChat: Auditing ChatGPT for Pokémon Universe Knowledge. CoRR abs/2306.03024 (2023) - [i4]Oliver Eberle, Ilias Chalkidis, Laura Cabello, Stephanie Brandl:
Rather a Nurse than a Physician - Contrastive Explanations under Investigation. CoRR abs/2310.11906 (2023) - [i3]Laura Cabello, Emanuele Bugliarello, Stephanie Brandl, Desmond Elliott:
Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models. CoRR abs/2310.17530 (2023) - 2022
- [c3]Daniel Hershcovich, Stella Frank, Heather C. Lent, Miryam de Lhoneux, Mostafa Abdou, Stephanie Brandl, Emanuele Bugliarello, Laura Cabello Piqueras, Ilias Chalkidis, Ruixiang Cui, Constanza Fierro, Katerina Margatina, Phillip Rust, Anders Søgaard:
Challenges and Strategies in Cross-Cultural NLP. ACL (1) 2022: 6997-7013 - [c2]Laura Cabello Piqueras, Anders Søgaard:
Are Pretrained Multilingual Models Equally Fair across Languages? COLING 2022: 3597-3605 - [c1]Laura Cabello Piqueras, Constanza Fierro, Jonas F. Lotz, Phillip Rust, Joen Rommedahl, Jeppe Klok Due, Christian Igel, Desmond Elliott, Carsten B. Pedersen, Israfel Salazar, Anders Søgaard:
Date Recognition in Historical Parish Records. ICFHR 2022: 49-64 - [i2]Daniel Hershcovich, Stella Frank, Heather C. Lent, Miryam de Lhoneux, Mostafa Abdou, Stephanie Brandl, Emanuele Bugliarello, Laura Cabello Piqueras, Ilias Chalkidis, Ruixiang Cui, Constanza Fierro, Katerina Margatina, Phillip Rust, Anders Søgaard:
Challenges and Strategies in Cross-Cultural NLP. CoRR abs/2203.10020 (2022) - [i1]Laura Cabello Piqueras, Anders Søgaard:
Are Pretrained Multilingual Models Equally Fair Across Languages? CoRR abs/2210.05457 (2022)
2010 – 2019
- 2018
- [j1]Laura Cabello, Eduardo Lleida, Javier Simón, Antonio Miguel, Alfonso Ortega:
Text-to-Pictogram Summarization for Augmentative and Alternative Communication. Proces. del Leng. Natural 61: 15-22 (2018)
Coauthor Index
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